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    Results for "data modeling"

    • Columbia University

      HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective)

      Skills you'll gain: Care Coordination, Patient Coordination, Health Informatics, Interoperability, Health Technology, Clinical Leadership, Healthcare Industry Knowledge, Health Care, Health Information Management, Primary Care, Electronic Medical Record, Telehealth, Health Policy, Public Health

      4.6
      Rating, 4.6 out of 5 stars
      ·
      160 reviews

      Beginner · Course · 1 - 3 Months

    • The State University of New York

      Data Analytics in Sports Law and Management

      Skills you'll gain: Facility Management, Event Management, Legal Risk, Contract Management, Performance Analysis, Hospitality and Food Services, Facility Operations, Event Planning, Business Analytics, Law, Regulation, and Compliance, Analytics, Data-Driven Decision-Making, Data Analysis, Scheduling, Labor Relations, Customer Engagement, Team Performance Management, Linear Algebra, Risk Management, Commercial Laws

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free

      ESSEC Business School

      L'entrepreneuriat social : de l'envie au projet

      Skills you'll gain: Entrepreneurship, Value Propositions, Business Modeling, Needs Assessment, Socioeconomics, Project Design, Community Development, Business Planning, New Business Development, Innovation, Business Analysis, Business Ethics, Market Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      188 reviews

      Beginner · Course · 1 - 4 Weeks

    • Meta

      Meta Marketing Science Certification Exam

      Skills you'll gain: Interviewing Skills, Marketing Analytics, Registration, Digital Marketing, Data Analysis, Professional Networking, Statistical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      209 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Pressure, Force, Motion, and Humidity Sensors

      Skills you'll gain: Embedded Software, Embedded Systems, Electronic Hardware, Electrical Systems, Machine Controls, Electronic Systems, Electronics, Equipment Design, Hardware Design, Control Systems, Electronic Components

      4.7
      Rating, 4.7 out of 5 stars
      ·
      256 reviews

      Intermediate · Course · 1 - 3 Months

    • Packt

      Alteryx for Beginners

      Skills you'll gain: Alteryx, Spatial Data Analysis, Spatial Analysis, Data Transformation, Data Cleansing, Data Import/Export, Data Presentation, Data Manipulation, Geographic Information Systems, Data Wrangling, Data Visualization Software, Data Mapping, Data Analysis, Data Integration, Text Mining, File Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 3 - 6 Months

    • University of London

      Mathematics for Computer Science

      Skills you'll gain: Graphing, Computational Thinking, Arithmetic, Applied Mathematics, Mathematical Modeling, General Mathematics, Computer Science, Computer Graphics, Systems Of Measurement, Cryptography

      4.1
      Rating, 4.1 out of 5 stars
      ·
      237 reviews

      Beginner · Course · 1 - 3 Months

    • Johns Hopkins University

      Infectious Disease Modeling in Practice

      Skills you'll gain: Epidemiology, Mathematical Modeling, Infectious Diseases, Public Health, Risk Modeling, Predictive Modeling, Forecasting, Data Analysis, Statistics, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Fractal Analytics

      Structured Approach to Problem Solving

      Skills you'll gain: Human Centered Design, Problem Solving, Critical Thinking and Problem Solving, Critical Thinking, Analytical Skills, Data Science, Complex Problem Solving, Decision Making, Data Analysis, Empathy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      120 reviews

      Beginner · Course · 1 - 4 Weeks

    • New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      EDUCBA

      Regression & Forecasting for Data Scientists using Python

      Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, Data Cleansing, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Universiteit Leiden

      Population Health: Fundamentals of Population Health Management

      Skills you'll gain: Health Disparities, Health Systems, Public Health, Health Care, Health Policy, Community Health, Preventative Care, Epidemiology, Health Assessment, Risk Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      47 reviews

      Mixed · Course · 1 - 3 Months

    Searches related to data modeling

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    data-driven systems: dbms, sql & data modeling
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    1…178179180…671

    In summary, here are 10 of our most popular data modeling courses

    • HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective): Columbia University
    • Data Analytics in Sports Law and Management: The State University of New York
    • L'entrepreneuriat social : de l'envie au projet: ESSEC Business School
    • Meta Marketing Science Certification Exam: Meta
    • Pressure, Force, Motion, and Humidity Sensors : University of Colorado Boulder
    • Alteryx for Beginners: Packt
    • Mathematics for Computer Science: University of London
    • Infectious Disease Modeling in Practice: Johns Hopkins University
    • Structured Approach to Problem Solving: Fractal Analytics
    • Fundamentals of Machine Learning in Finance: New York University

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Data Modeling

    Data modeling is an essential prerequisite to proper database design, as it clearly establishes the structures, relationships, and flows of data through an organization. This diagramming is important because it ensures the integrity of a company’s data and its interrelationships in the database management system (DBMS) so that it can be relied on for accurate analysis.

    Data modeling has become more challenging in the big data era, as vast flows of unstructured, real-time data are not easily classified. However, there are also new tools available for data management professionals. Neo4j, one type of NoSQL database, can help with data modeling by filtering large datasets with graph analytics. And, with Apache Impala’s ability to analyze big data in the cloud, data modelers can create flexible system protocols that can evolve with data growth.‎

    Data modeling is a complex process that demands the ability to precisely understand and diagram business operations, data flows, and data management systems. Database administrators especially rely on data modeling to design and manage an organization’s databases to ensure security, integrity, and freedom from error.

    Data engineers also use data modeling skills to efficiently design and build an organization’s data infrastructure. They are responsible for creating the data pipelines, data warehouses, and data lakes used for business operations, exploratory data analysis, and predictive business intelligence. According to Glassdoor, the national average salary for a data engineer in the United States is $102,864 per year.‎

    Yes! Coursera offers a wide variety of online courses and Specializations in data modeling, as well as related topics like data warehousing, business intelligence, and big data. You can take courses from top-ranked institutions like the University of California San Diego and the University of Illinois at Urbana-Champaign, so you don’t have to sacrifice the quality of your education for the opportunity to learn online.

    Coursera also offers the opportunity to pursue a full Master of Science in Data Science degree from the University of Colorado Boulder. Whether you’re a data science beginner or adding new skills to your resume, data modeling will give you an essential perspective into the structure of an organization’s data operations.‎

    Previous experience or education—at the high school or postsecondary levels—in information science, applied mathematics, or computer science and related topics can help you form the foundation needed to learn about data modeling. A background in business management and information systems management may also be beneficial. Naturally, you'll need good basic computer skills, as well as some experience in areas like database administration, computer architecture, data representation, and digital logic. An understanding of modeling tools—like PowerDesigner, Erwin, and Enterprise Architect—can also prepare you to learn data modeling. Experience with database management systems is also a must. Software development experience can be helpful too.‎

    While technical skills are important for work that involves data modeling, you must also be a good communicator and teacher. In many cases, you'll have to explain your job to those who may not fully understand it. This means you'll need good written and verbal communication skills. It also means you'll need good interpersonal skills and the ability to work well with a team. You should also have a business-minded personality. The ideas and standards you implement will be based on the needs of the business where you work. You must be someone who can learn, change, and adapt quickly as you'll find that the job calls for that on many occasions.‎

    Anyone with a background and passion for math, data, and computers may find that learning data modeling is right for them, especially if you dream of working in the business world and helping companies reach their full potential. Your technical knowhow and communication skills must be equally as sharp if you want a career in the field. However, choosing a career in this field means plenty of job opportunities, a competitive salary, and a great outlook for the future. You must be willing to build on your education and experience to work your way up from a career such as a data analyst if you choose this path.‎

    Online Data Modeling courses offer a convenient and flexible way to enhance your knowledge or learn new Data Modeling skills. Choose from a wide range of Data Modeling courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Modeling, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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